Quote:
Scott Hebert said:
Unfortunately, I don't very much at all about regression testing, so it's hard for me to grasp much of the jargon.
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No problem. Say you wanted to model the damage the units do in Dom2. You'd probably guess it was some function of strength and weapon damage.
So, you'd make a model like:
damage = A * strength + B * weapon damage
"strength" and "weapon damage" are the regressors (or contributors). A and B are their coefficients. The regressors also each have p-values, which is the likelihood they're due to chance -- 1%, 5%, and 10% are typical cut-offs for scientific work. The whole model has an R-squared, which is the fraction of the variation of the data it explains. R-squareds range from 0 to 1.
So, in this toy example, strength and weapon damage would probably have very small p-values (probably less than 0.01), but the R-squared would probably be pretty low, because the 2d6oe tends to swamp out the effects of the regressors.
Hope that helps.
